Robust Semisupervised Land-Use Classification Using Remote Sensing Data With Weak Labels

Robust Semisupervised Land-Use Classification Using Remote Sensing Data With Weak Labels

This work develops robust semisupervised classifiers to tackle the three most challenging problems in land-use classification using remote sensing data, namely, information imbalance, label noise, and image uncertainty. Limited by technology and cost, collecting clean labels for remote sensing image...

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Bibliographic Details
Main Authors: Rui Wang, Man-On Pun
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Land-use classification
nuclear norm
semisupervised learning
weak labels
Online Access:https://ieeexplore.ieee.org/document/9528392/

Internet

https://ieeexplore.ieee.org/document/9528392/

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